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Extracting Chinese multi-word terms from small corpus
- Source :
- ISKE
- Publication Year :
- 2008
- Publisher :
- IEEE, 2008.
-
Abstract
- In this paper, we present an automatic terminology extraction approach for Chinese multi-word terms. In this term extraction system, besides five linguistic rules acquired from an available term list by some machine learning methods, two statistical strategies are involved: a termhood measure based on the term distribution variation, and a unithood measure adopting the left and right entropy method to estimate the collocation variation degree. The candidates are ranked according to the values of the former. The latter is used to filter the preposition phrases and some verb-object phrases that rarely appear as terms. By validating on a small scale corpus in the computer domain, the precision reaches 91.5% of the top 2000 outputs.
- Subjects :
- Left and right
Computer science
business.industry
Terminology extraction
Knowledge engineering
Intelligent decision support system
Pattern recognition
Filter (signal processing)
computer.software_genre
Terminology
Entropy (information theory)
Artificial intelligence
business
computer
Natural language processing
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2008 3rd International Conference on Intelligent System and Knowledge Engineering
- Accession number :
- edsair.doi...........2bf79b7757a3d8d004e930eb99105bdb